Reliability Engineering Fundamentals

Reliability Engineering Fundamentals
Training Programme

Reliability Engineering Fundamentals

Apply reliability thinking to product and equipment decisions using failure evidence and practical operating context. Participants define reliability measures, interpret life data and connect failure mechanisms with testing and…

Category
Quality and Operational Excellence
Delivery region
Saudi Arabia, GCC and MENA
01

Programme Summary

Apply reliability thinking to product and equipment decisions using failure evidence and practical operating context. Participants define reliability measures, interpret life data and connect failure mechanisms with testing and improvement priorities. Worked cases address censored observations, maintenance effects and uncertain forecasts, enabling teams to ask better technical questions and communicate reliability claims with appropriate limitations.

02

Training Objectives

1 Connect reliability with intended operating conditions; 2 Define useful failure and performance measures; 3 Interpret life data and modelling assumptions; 4 Link failure mechanisms with improvement decisions; 5 Communicate reliability evidence and uncertainty responsibly.

03

Learning Outcomes

1 Define a reliability requirement and failure criterion; 2 Prepare a suitable reliability data record; 3 Interpret a basic life data analysis; 4 Select a justified reliability improvement action; 5 Write a qualified reliability evidence summary.

04

Target Audience

Reliability Engineers; Quality Engineers; Maintenance Engineers; Product Development Engineers; Technical Managers.

05

Target Industries

Industrial Equipment Manufacturing; Automotive Manufacturing; Electronics Manufacturing; Energy Operations; Process Manufacturing; Transport Equipment.

06

Course Contents

  • Module 1 Reliability Requirements: Intended function conditions and service life; Failure definitions and stakeholder expectations; Reliability availability and maintainability distinctions.
  • Module 2 Failure Behaviour: Early random and wear related failures; Failure mechanisms and operating influences; Repairable versus nonrepairable item distinctions.
  • Module 3 Data Collection and Quality: Time cycles exposure and failure records; Censoring suspensions and incomplete histories; Consistency of operating and maintenance context.
  • Module 4 Reliability Measures: Failure rate and survival probability; Mean time measures and their limitations; Confidence levels and uncertain estimates.
  • Module 5 Life Distributions: Exponential and Weibull model concepts; Distribution selection and graphical checks; Limits of extrapolation beyond observed data.
  • Module 6 Repairable Systems: Restoration assumptions and repeat failures; Failure intensity and maintenance effects; Availability losses and downtime interpretation.
  • Module 7 Failure Analysis Interfaces: Failure modes causes and physical evidence; Risk priorities and design improvement links; Corrective action and recurrence monitoring.
  • Module 8 Reliability Testing: Demonstration growth and life test purposes; Test conditions samples and acceptance plans; Accelerated testing assumptions and limitations.
  • Module 9 System Reliability: Series parallel and redundant configurations; Common cause and dependency concerns; Critical items and weakest link decisions.
  • Module 10 Maintainability and Support: Access diagnosis repair and spare parts; Human factors and restoration variability; Support arrangements affecting availability.
  • Module 11 Improvement and Reporting: Design process and maintenance improvement options; Evidence for reliability claims and limitations; Monitoring field performance after change.
  • Module 12 Reliability Case Workshop: Interpreting a supplied failure dataset; Selecting appropriate analysis and improvements; Presenting a qualified reliability recommendation.
07

Assessment

  • 60 single best answer questions, including applied scenarios; one mark per question.
  • 90 minute invigilated digital examination with identity verification. Approved accessibility adjustments preserve the assessed competence.
  • Supplied reference pack and calculator permitted; external internet and AI prohibited.
  • Individual applied assessment (45 minutes): Review a failure dataset, interpret a supplied life model and propose a reliability improvement with clear assumptions, evidence needs and reporting limitations.
  • Assessment criteria: Correct failure and exposure interpretation; Sound model and limitation judgement; Practical evidence based improvement proposal.
  • Pass each component separately: 45/60 written marks (75%) and at least 70% on the applied task.
  • Individual results and feedback are provided. One reassessment may follow coaching under the published enrolment terms.
08

Certification

  • Successful learners receive a TQCSI Arabia digital Certificate of Successful Completion.
  • The certificate records the learner name, exact programme title, teaching hours, completion date and unique verification reference.
  • Verified identity, full attendance and separate written and applied passes are required; all mandatory critical criteria must be met.
  • Proposed issue target: within 30 calendar days of approved results and settlement of applicable fees.
  • Records reliability engineering fundamentals; specialist reliability certification and design safety approval require separate evidence and authority.
  • Attendance confirmation may record completed hours for unsuccessful learners; it does not certify successful completion.
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Programme Profile

Number of daysNumber of daysNumber of days
333
Total teaching hoursTotal teaching hoursTotal teaching hours
18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.
Delegates allowedDelegates allowedDelegates allowed
Maximum 16 delegates.Maximum 16 delegates.Maximum 16 delegates.
Training prerequisitesTraining prerequisitesTraining prerequisites
Engineering experience and basic statistics are required. Familiarity with product or equipment failure data is recommended.Engineering experience and basic statistics are required. Familiarity with product or equipment failure data is recommended.Engineering experience and basic statistics are required. Familiarity with product or equipment failure data is recommended.
Pre course assignment and assessmentPre course assignment and assessmentPre course assignment and assessment
Review a fictional failure history for 30 minutes and identify exposure, failure definitions and missing observations.Review a fictional failure history for 30 minutes and identify exposure, failure definitions and missing observations.Review a fictional failure history for 30 minutes and identify exposure, failure definitions and missing observations.
End of course assessmentEnd of course assessmentEnd of course assessment
60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).
Passing criteriaPassing criteriaPassing criteria
75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.
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